MIT SFMBA vs Stanford MSx

Question

Hi everyone,
I’m currently facing a tough but happy dilemma and would love to get some candid advice from this community, especially from alumni or anyone familiar with 1-year mid-career programs. 
 
 My Background:  
 
   Education:  BS in Electrical Engineering (top US engineering schools), M.Eng in Electrical Engineering and Computer Sciences (top US engineering schools in Bay Area)  
   Experience:  ~10 years. Started as a CPU Design Engineer at Intel in Silicon Valley, currently working as a Tech Lead at a global tech company based in South Korea (managing multi-cultural teams, building on-device AI).  
   Geography:  Previously lived and worked in the Bay Area and absolutely loved the tech ecosystem there. Also, I am still holding an U.S. Green Card.
   
  Post-Program Goals:  
 
   Short-term:  Pivot from a Tech Lead to a Senior AI PM at a Big Tech (Google, Meta, Amazon, etc.) or join an AI startup in the US.  
   Long-term:  Found my own AI startup.(2 or 3 yrs later)
   
  1. Stanford MSx  
 
   Pros:  The location. Also, I love GSB’s heavy focus on soft skills, interpersonal dynamics, and entrepreneurship.  
   Cons (My main concern):  From what I've heard, the curriculum is much less structured and systematic compared to MIT. Since I am transitioning from a pure engineering background to a business/PM role, I'm slightly worried if this highly flexible, "choose-your-own-adventure" style might leave me with gaps in hard business fundamentals (finance, operations, quantitative frameworks) compared to the rigorous foundation MIT provides.
   
  2. MIT Sloan Fellows  
 
   Pros:  Incredible brand for deep tech. It offers a very rigorous, systematic, and quantitative curriculum that builds a bulletproof foundation for tech leadership and Big Tech PM roles.  
   Cons:  Located on the East Coast. While Boston has a great deep tech/bio ecosystem, I feel like the consumer AI / GenAI startup scene isn't as explosive as the Bay Area.
   
  My Questions for the Community:  
 
  For someone transitioning from pure tech to a Big Tech PM role, does Stanford's less structured curriculum actually leave gaps in hard business skills? Or does their soft-skill/entrepreneurial focus outweigh this concern in the real world?  
  How do Big Tech AI PM recruiters view the training from MIT's rigorous, data-driven approach vs. Stanford's visionary, design-thinking approach?
   
 Any insights, harsh truths, or alumni perspectives would be greatly appreciated! Thank you.

bb · Answer

Hi. Congratulations on your admits!

I will address your biggest question and concern or I’ll try to... because I made the same mistake by putting a lot of emphasis on the curriculum and classes. The reality however is that my future employer did not care about what the classes I took and I didn’t care about what skills I had either. It’s not like they tested me on product management skill set which you can actually pick up from a few few YouTube videos.

I would say that the curriculum is one dimension of your experience and what you learn in those classes is not actually hard skills such as engineering or critical finance elements - you learned very basic skills but very important ones: you learn how to critically think how to approach problems how to prioritize, how to communicate and how to sometimes pretend like you know what you’re talking about because you forgot to do the homework ... these are great skills and super useful and will be very valuable in your job but they don’t depend on taking one particular class, so I would say the curriculum concern is minor.

A bigger concern may be building a community and network if you are all taking different classes but at the same time, if you are planning to work in tech and p.m., not sure you want to be hanging out with all the finance and the sea folks for taking those kinds of classes.

The experience will be like drinking from a fire hose and dream that time you also will need to recruit which is really your primary focus and emphasis, the classes are secondary.

I know it sounds weird but it’s kind of like settlers of Catan where you have a lot of resources that you seemingly need but then you win based on the victory points which are obtained in a very different way which always resulted in me losing the game with the most money and resources 😂 I guess I never learned

jkoooh85 · Answer

Thank you for your reply and valuable insights. Based on what you advised, Stanford MSx would be the better option among them?

bb · Answer

I think so.

And in terms of recruiters looking at your degree - this only plays out within your school network as some employers may have a strong preference to recruit people from Sloan or Harvard or something like that - I don’t mean the company has the policy but rather a manager who has gone to Sloane and values the Sloan‘s curriculum may want to recruit people from their program which is probably true even if they weren’t impressed by the program.

When you recruit, the more important consideration on your résumé is your past performance. The employers will never see your grades and will never look at your transcript or even know which classes you took. What they see is highly capable candidate who just graduated from a very competitive university but that will be the qualification of every other applicant... and so the distinguishing factors become your previous work experience, and how close are you so they can minimize training and a lot of times try to hire someone who basically has done this job in the past.

It’s kind of if you’re hiring an electrician, you can hire someone who graduated top of their class from the best electrician school or you can hire someone who has 20 years of work experience and you don’t care which electrician school they went to.

The tricky part is tech p.m. is still quite challenged in terms of over recruiting that has happened in 2022 so there’s a number of highly qualified candidates with experience floating around. Many of them have become stale at this point but with more companies losing staff to A.I. and similar implications there is pressure on this sector. What will be crucial is starting to network probably now.

I would not wait to start school but I would start reaching out to current students because they’ll graduate quite soon and starting to ask them for recommendation about what you should be doing to recruit, what they did and perhaps even ask them if you should pick Stanford or Sloan. These are the guys who will be employed by the time you’ll be graduating and hopefully the same people you can start leverage for potentially finding additional opportunities in the industry starting in September October.

I would not delay however until September October because at that time you will become toxic - they would have just found a job and just started it and much less open to coffee chat calls. However, right now couple months before graduation, they’re either stressed out about the job or looking forward to hopefully something decent but you should be able to hopefully catch them now and start building relationship that will last years - your classmates and recent alumni will be your best source for networking and finding a job. Both of these programs are quite un typical and so there’s really not a good pipeline like there is from full-time programs for example to Amazon or Microsoft. Meaning networking and referrals which these days are a must are your main ways of finding a job

jkoooh85 · Answer

I truly appreciated your valuable insights. You mentioned many aspects that I didn't consider(or couldn't consider before joining the MBA program).

My last question. I did my Master's degree in EECS at UC Berkeley(even if it has been more than 10yrs). So, my take was moving to the East Coast would bring new opportunities/networks that I didn't know and explore, and I thought there were ample opportunities at Boston/NYC in terms of AI startup ecosystems and starting my own AI startup. Regarding big tech roles, I would believe Stanford and MIT would provide quite equal opportunities.(correct me if I am wrong)

I believe I have quite strong previous experiences in AI industry. 10+ research papers, patents and global AI product commercialization experiences used by more than 20m users worldwide. So, I will try to start finding a job in the US even before the beginning of the program as you suggested.

Also, my minor concern is tech really doesn't care about MSx, which is MS in management in comparison to MBA?

MIT SFMBA vs Stanford MSx

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